water Article Source Apportionment of Annual Water Pollution Loads in River Basins by Remote-Sensed Land Cover Classification Yi Wang 1, Bin He 2,*, Weili Duan 2,*, Weihong Li 1, Pingping Luo 3,4 and Bam H. N. Razafindrabe 5 1 State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;
[email protected] (Y.W.);
[email protected] (W.L.) 2 Key Laboratory of Watershed Geographic Science, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China 3 Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region (Chang’an University), Ministry of Education, Xi’an 710064, China;
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[email protected] * Correspondence:
[email protected] (B.H.),
[email protected] (W.D.); Tel.: +86-025-8688-2171 (B.H.); +86-025-8688-2173 (W.D.) Academic Editor: Y. Jun Xu Received: 4 April 2016; Accepted: 9 August 2016; Published: 23 August 2016 Abstract: In this study, in order to determine the efficiency of estimating annual water pollution loads from remote-sensed land cover classification and ground-observed hydrological data, an empirical model was investigated. Remote sensing data imagery from National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer were applied to an 11 year (1994–2004) water quality dataset for 30 different rivers in Japan.